Create app.py

app.py

@@ -0,0 +1,34 @@
+import openai
+import gradio as gr
+import os
+
+
+# OpenAi call
+def gpt3(texts):
+    openai.api_key = os.environ["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"]
+    response = openai.Completion.create(
+        engine="text-davinci-003",
+        prompt=texts,
+        temperature=0,
+        max_tokens=750,
+        top_p=1,
+        frequency_penalty=0.0,
+        presence_penalty=0.0,
+        stop=(";", "/*", "</code>")
+    )
+    x = response.choices[0].text
+
+    return x
+
+
+# Function to elicit sql response from model
+def greet(prompt):
+    txt = (f'''/*Prompt: {prompt}*/ \n —-SQL Code:\n''')
+    sql = gpt3(txt)
+    return sql
+
+
+# Code to set up Gradio UI
+iface = gr.Interface(greet, inputs=["text"], outputs="text", title="Natural Language to SQL",
+                     description="Enter any prompt and get a SQL statement back! For better results, give it more context")
+iface.launch()